Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach - Publikacja - MOST Wiedzy

Wyszukiwarka

Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach

Abstrakt

For the last few years, the fourth industrial revolution, known as Industry 4.0, has been a hot topic among academics. Industry 4.0 literature involves researches presenting studies related to its different aspects including challenges, opportunities, implementation and adoption. However, a detailed study of challenges and barriers towards the Industry 4.0 implementation in manufacturing industries is missing. Hence, this paper aims to study and analyze the Industry 4.0 implementation challenges in manufacturing industries based on the expert opinions and the Interpretive Structural Modelling (ISM). The ISM analysis investigates the challenges in a structural base, finds the relationships between these challenges and finally shows how challenges affect each other to uncover the root cause triggering the other challenges. The industrial practitioners and managers can then take advantage of this analysis to know which challenge acts as the main barrier towards Industry 4.0 implementation and to be focused first in order to reach a solution.

Cytowania

  • 3 9

    CrossRef

  • 0

    Web of Science

  • 3 7

    Scopus

Autorzy (5)

Cytuj jako

Pełna treść

pobierz publikację
pobrano 146 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY-NC-ND otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Procedia Computer Science nr 176, strony 2384 - 2393,
ISSN: 1877-0509
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Bakhtari A., Kumar V., Waris M., Sanin C., Szczerbicki E.: Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach// Procedia Computer Science -Vol. 176, (2020), s.2384-2393
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.procs.2020.09.306
Weryfikacja:
Politechnika Gdańska

wyświetlono 159 razy

Publikacje, które mogą cię zainteresować

Meta Tagi